Modeling arsenic content in Brazilian soils: What is relevant?

Menezes, Michele Duarte de; Bispo, Fábio Henrique Alves; Faria, Wilson Missina; Gonçalves, Mariana Gabriele Marcolino; Curi, Nilton; Guilherme, Luiz Roberto Guimarães

doi:10.1016/j.scitotenv.2020.136511

Cited by 29 publications

(4 citation statements)

References 88 publications

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“…In a predictive modeling study of spatial variability using environmental covariates (contents of organic carbon, clay, sand and TiO2) representing the soil formation factors in Brazil, De Menezes et al (2020) found mean As contents of 11.97±1.62 for the Santa Catarina state; however, only six profiles out of the 31 evaluated in the present study demonstrated similar contents.…”

Section: Resultscontrasting

confidence: 59%

“…Such discrepant contents as those obtained in the present study (26.59 -0.56 mg kg -1 ) may indicate the need for standardizing more than one quality reference value (QRV), thus reducing the possibility of classifying natural contents as contamination or allowing soils with very low contents to be contaminated. VRQs can be split into groups with different clay and/or iron oxide contents, since this study (Table 6), as well as several others (Campos et al, 2013, De Menezes et al, 2020, Almeida et al, 2020, found positive correlation between arsenic content and those said attributes. Source: Author's own production, 2020.…”

Section: Resultsmentioning

confidence: 56%

“…Água vol. 16 n. 5, e2720 -Taubaté 2021 Menezes et al, 2020) were published with information on natural contents or quality reference values for Brazilian soils.…”

Section: Introductionmentioning

confidence: 99%

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Arsenic in Santa Catarina soils

Machado¹,

Miquelluti²,

Campos³

2021

Rev. ambiente água

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Arsenic (As) is one of the most harmful chemical elements known to man and to the environment, mainly due its high toxicity and wide distribution; the content of this element within the soils is a genuine concern, thus making it paramount to know its natural contents in a regional context. The present study aimed to determine the natural Arsenic content in the A horizon of 31 soil profiles from the state of Santa Catarina, Brazil, which is useful in determining reference values, monitoring, remediation of contaminated areas, legal regulation and Brazilian laws. Soil samples were prepared following the USPEA 3051A SW-846 method and were previously chemically reduced from As(V) to AS(III) by using the BCR method. The determination was performed in an Inductively Coupled Plasma - Optical Emission Spectrometry - Hydride Generation (ICP-OES-HG at cold vapor). Results obtained from the soil groups reveal the materials of basaltic origins as the ones with more As content while those of sediment origins had lesser content. Evaluated soil profiles fit into the following descending order regarding their As content: Latossolos, according to EMBRAPA (Oxisols according to Soil Taxonomy) > Nitossolo (Ultisols, Oxisols (Kandic), Alfisols) > Chernossolos (---) = Cambissolo (Inceptisols) = Argissolo (Ultisols) > Neossolos (Entisols). Keywords: arsenic content, reference value, soils, trace element.

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Section: Resultscontrasting

confidence: 59%

Section: Resultsmentioning

confidence: 56%

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Arsenic in Santa Catarina soils

Machado¹,

Miquelluti²,

Campos³

2021

Rev. ambiente água

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“…Soil pollution by potentially toxic elements (PTEs) is one of the most important environmental problems nowadays around the world and it has attracted much public attention [1][2][3][4][5][6][7], especially in countries like China [8][9][10], India [11][12][13], Iran [14][15][16], Pakistan [17][18][19], Brazil [20][21][22], and Bangladesh [23][24][25], which are undergoing industrialization. Among these PTEs, As, Cd, Cu, Ni, and Zn were among the list of most concerned pollutants in soil around the world since they could reside in soils for a long time and could pose a great threat to human health acting via different pathways (e.g., derma contact, inhalation, and ingestion of PTEs-polluted food) [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods

Xia

Zhu³

et al. 2020

Remote Sensing

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Soil pollution by potentially toxic elements (PTEs) has become a core issue around the world. Knowledge of the spatial distribution of PTEs in soil is crucial for soil remediation. Portable X-ray fluorescence spectroscopy (p-XRF) provides a cost-saving alternative to the traditional laboratory analysis of soil PTEs. In this study, we collected 293 soil samples from Fuyang County in Southeast China. Subsequently, we used several geostatistical methods, such as inverse distance weighting (IDW), ordinary kriging (OK), and empirical Bayesian kriging (EBK), to estimate the spatial variability of soil PTEs measured by the laboratory and p-XRF methods. The final maps of soil PTEs were outputted by the model averaging method, which combines multiple maps previously created by IDW, OK, and EBK, using both lab and p-XRF data. The study results revealed that the mean PTE content measured by the laboratory methods was as follows: Zn (127.43 mg kg−1) > Cu (31.34 mg kg−1) > Ni (20.79 mg kg−1) > As (10.65 mg kg−1) > Cd (0.33 mg kg−1). p-XRF measurements showed a spatial prediction accuracy of soil PTEs similar to that of laboratory analysis measurements. The spatial prediction accuracy of different PTEs outputted by the model averaging method was as follows: Zn (R2 = 0.71) > Cd (R2 = 0.68) > Ni (R2 = 0.67) > Cu (R2 = 0.62) > As (R2 = 0.50). The prediction accuracy of the model averaging method for five PTEs studied herein was improved compared with that of the laboratory and p-XRF methods, which utilized individual geostatistical methods (e.g., IDW, OK, EBK). Our results proved that p-XRF was a reliable alternative to the traditional laboratory analysis methods for mapping soil PTEs. The model averaging approach improved the prediction accuracy of the soil PTE spatial distribution and reduced the time and cost of monitoring and mapping PTE soil contamination.

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